hadoop配置优化

yarn-site.xml

  <property>
    <name>yarn.nodemanager.resource.memory-mb</name>
    <value>22528</value>
    <discription>每个节点可用内存,单位MB,默认9182MB</discription>
  </property>

  <property>
    <name>yarn.scheduler.minimum-allocation-mb</name>
    <value>1500</value>
    <discription>单个任务可申请最少内存,默认1024MB</discription>
  </property>

  <property>
    <name>yarn.scheduler.maximum-allocation-mb</name>
    <value>16384</value>
    <discription>单个任务可申请最大内存,默认8192MB</discription>
  </property>


  mapred-site.xml
  <property>
    <name>mapreduce.map.memory.mb</name>
    <value>1500</value>
    <description>每个Map任务的物理内存限制</description>
  </property>

  <property>
    <name>mapreduce.reduce.memory.mb</name>
    <value>3000</value>
    <description>每个Reduce任务的物理内存限制</description>
  </property>

  <property>
    <name>mapreduce.map.java.opts</name>
    <value>-Xmx1200m</value>
  </property>

  <property>
    <name>mapreduce.reduce.java.opts</name>
    <value>-Xmx2600m</value>
  </property>

mapreduce.map.memory.mb:每个map任务的内存,应该是大于或者等于Container的最小内存。

22528在yarn-site.xml配置的所有可用内存

按照上面的配置:每个slave可以运行map的数据<= 22528/1500,reduce任务的数量<=22528/3000

系统优化、jvm优化,hadoop配置优化

原文地址:https://www.cnblogs.com/ggzone/p/5094472.html